Data Science Lead Analyst - Cigna Healthcare

Lead Data Analyst IM D&A

We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.  

This is a technical role that delivers quality end-to-end analytical support across multiple D&A use case projects of Cigna International Markets. The role of the Data Analyst is to also work as a member of the IM D&A team and with stakeholders and, transform business questions and issues into data driven analytical solutions.

• Key stakeholders will include: direct team members (Data Scientists, Product Owners/Managers, Analytics leaders, Data Engineers, IT Engineers and Data Governance specialists) and key business stakeholders.

• →Partner with Product Owners and domain stakeholders to understand business challenges, and recommend appropriate analytical approaches
• →Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products
• →Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.
• →Design, curate, and maintain high-quality data products by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases
• →Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products
• →Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data
• →Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
• →Build industry knowledge on the advancements in the field of data science and analytics
• →Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna DNA culture.

• Working in a team to support end-to-end analytical projects
  • Liaising with stakeholders to determine objectives / scope of upcoming projects
  • Data exploration, cleansing and manipulation
  • Determining appropriate type of analysis and undertaking analysis
  • Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools  
  • Ongoing stakeholder interaction (internal and external as required) on project progress
  • Contribute to the Feedback process (between stakeholders and the team)  to ensure continuous improvement with team
• Participate and contribute  in learning forums and sharing knowledge with wider team

• 4+ years’ experience in a technical analytics environment, carrying out data analytics and data science/machine learning

• Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines

• Hands-on experience with Python for data analysis and modeling

• Experience working with SQL and NoSQL databases

• Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent

• Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns

• Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases

• Coding and modelling experience in SQL / R / Python and / or big data platforms
• Experience in visualization and data management tools an added advantage
• Experience working with complex datasets
• Attention to detail & drive for continuous improvement
• Participation in external data hackathons and competitions will be an added advantage